Top 500 YouTube Channels Statistics
Welcome to my website, analysing data of YouTube
THE DATA
"The dataset contains the top 5000 rankings of the YouTube channels by a company
named Socialblade. The data contains various information on the YouTube channels
such as: the Socialblade channel rankings, the grades granted by Socialblade,
the YouTube channel name, the number of videos uploaded by the channel, total
number of subscribers on the channel and the total number of views on all the
video content by the channel." -Kaggle.com. I will be using the first 500 ranked
videos data
The top 500 youtube channels have over 3 billion Views with
over 7 Million Subscribers and an average of 7555.937 Total
videos uploaded during the life of the channel.
The standart deviation calculation in all data sets
means that the values in the set are farther away
from the mean on average. It reflects a large amount of
variation in the set.
PARETO CHART
Pareto chart displaying the gradding of YouTube channels by Kaggle.
Most of the top 500 videos have a rank of A
HYPOTHESIS TEST 1
Is there a difference in views between the YouTube channels that
uploaded a lot of videos (over 10000) and the channels who uploaded
less videos (under 10000)?. The test is a 0.05 confidence level.
We can conclude at a 95% confidence level that there is a difference
between the two means between the channels that upload a lot of videos
(over 10000) and the ones who don’t (less than 10000).
HYPOTHESIS TEST 2
Is there a difference in Subscribers between the YouTube channels
that uploaded a lot of videos (over 10000) and the channels who
uploaded less videos(under 10000). The test is a 0.05 confidence level.
We can conclude at a 95% confidence level that there is not significance
difference in the two means of the subscribers beetween the channels that upload a
lot of videos (over 10000) and the ones who don’t (less than 10000).
HYPOTHESIS TEST 3
Is there a difference in video views between the YouTube channels
that have more subscribers (over 10 million) and the channels
who have less subscribers (less than 1 million).
The test is a 0.05 confidence level.
We can conclude at a 95% confidence level that there is evidence
that there is a difference in views beetween the YouTube
channels with more subscribers and the YouTube channels
with less subscribers.
LINEAR MODEL
You don’t need a lot of videos on a channel to get more views.
More video uploads don’t mean more views.
Few videos uploads (like ~10,000 or something) is good enough to get a lot of views.
ANOVA
There is sufficient evidence at the 0.05 level to conclude that the mean number of Subscribers of the three
different ranks are significantly different.